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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9694
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    references to multi-component systems or strategies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    CDCl
    -0.37
     terceros
    -0.35
    bootstrapcdn
    -0.34
    GEBURTSDATUM
    -0.33
    withOpacity
    -0.33
     nacimiento
    -0.32
    arrivo
    -0.32
     lazo
    -0.32
    twice
    -0.32
    WebVitals
    -0.31
    POSITIVE LOGITS
     multi
    1.08
     Multi
    1.04
    Multi
    0.94
    multi
    0.87
     MULTI
    0.82
     MULT
    0.81
    MULTI
    0.78
    マルチ
    0.75
    MULT
    0.71
     マルチ
    0.68
    Activations Density 0.137%

    No Known Activations